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Accuracy assessment of lidar-derived digital terrain model (DTM) with different slope and canopy cover in tropical forest region

Mohd. Salleh, Mohd. Radhie and Ismail, Zamri and Abdul Rahman, Muhammad Zulkarnain (2015) Accuracy assessment of lidar-derived digital terrain model (DTM) with different slope and canopy cover in tropical forest region. In: WG II Technical Commision 2 ISPRS Joint International Geoinformation Conference 2015 (Volume II-2/W2), 28-30 Oct, 2015, Kuala Lumpur, Malaysia.

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Official URL: http://www.isprs-ann-photogramm-remote-sens-spatia...

Abstract

Airborne Light Detection and Ranging (LiDAR) technology has been widely used recent years especially in generating high accuracy of Digital Terrain Model (DTM). High density and good quality of airborne LiDAR data promises a high quality of DTM. This study focussing on the analysing the error associated with the density of vegetation cover (canopy cover) and terrain slope in a LiDAR derived-DTM value in a tropical forest environment in Bentong, State of Pahang, Malaysia. Airborne LiDAR data were collected can be consider as low density captured by Reigl system mounted on an aircraft. The ground filtering procedure use adaptive triangulation irregular network (ATIN) algorithm technique in producing ground points. Next, the ground control points (GCPs) used in generating the reference DTM and these DTM was used for slope classification and the point clouds belong to non-ground are then used in determining the relative percentage of canopy cover. The results show that terrain slope has high correlation for both study area (0.993 and 0.870) with the RMSE of the LiDAR-derived DTM. This is similar to canopy cover where high value of correlation (0.989 and 0.924) obtained. This indicates that the accuracy of airborne LiDAR-derived DTM is significantly affected by terrain slope and canopy caver of study area.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:airborne LiDAR, accuracy
Subjects:G Geography. Anthropology. Recreation > G Geography (General) > G70.39-70.6 Remote sensing
Divisions:Geoinformation Science And Engineering (Formerly known)
ID Code:61399
Deposited By: Widya Wahid
Deposited On:25 Apr 2017 11:56
Last Modified:31 Jul 2017 08:29

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